Tag - moda

In July of this year, Chinese e-commerce giant Alibaba presented a demo of its first conceptual physical store: FashionAI. It opened its doors for 4 days in Hong Kong, with the main objective of simplifying the clothing shopping experience through big data analysis and artificial intelligence (AI) application.

“FashionAI reflects our thinking about what the future of retail fashion might look like,” Zhuoran Zhuang, the company’s vice president, said in a statement.

Access to this fashion store, in pilot format, is through the smartphone, by scanning a QR code. It is associated with the user account on Taobao, the fashion and beauty e-commerce site of Alibaba.

Then, the face of the prospective buyer is scanned. If a garment you like, you can approach the smart mirrors (something that is not new, the largest store of the brand H & M in New York, have one, for example), to see your article, choose size and colors.

These touch screen mirrors can even suggest other items to buy or add other products to the shopping cart. That is, it combines the experience of an ecommerce platform with the physical presence of the user in the store.

FashionAI products have tracking labels with radio frequency identification (RFID) chips, gyroscopic (to detect if clothes are being touched, moved or picked up) and have a Bluetooth connection.

A near future
Buyers of centennial fashion (between 9 and 17 years old) today demand personalization. And, according to an IBM study, 52% of women in Generation Z would like to see tools that allow them, precisely, to have a customized shopping experience (of their tastes and sizes).

“E-commerce platforms know what fashion items and accessories consumers bought in the past, what they are buying right now and what they are likely to buy in the future. This is achieved by following the digital footprint of the buyers, the operations derived from purchases and searches, “Gabriel Farias Iribarren, an Argentine sourcing professional in Asia, tells Infobae.

He continues: “The AI ​​can recommend complementary models, based on information about …